In a 3-dimensional data collection process, there exists noise data that cannot be included to
visualize the process. Therefore, it is difficult to deal with since fuzzy set and intuitionistic …

Dealing with the uncertainty data problem using neutrosophic data is difficult since certain
data are wasted due to noise. To address this issue, this work proposes a neutrosophic set …

In simulation technology, computationally expensive objective functions are often replaced
by cheap surrogates, which can be obtained by interpolation. Full grid interpolation methods …

In this paper, B-spline curve interpolation model by using intuitionistic fuzzy set approach is
introduced. Firstly, intuitionistic fuzzy control point relation is defined based on the …

This study introduces a B-spline curve interpolation model based on the neutrosophic set
technique. To begin, the neutrosophic notion is used to define the neutrosophic control point …

Geometric modeling involving uncertainty of data is the major problem in CAGD. By using
the theory of fuzzy set and its properties, the issues of uncertainty can be solved through the …

Lack of knowledge of the first principles, that describe the behavior of processed particulate
mixtures, has created significant attention to data‐driven models for characterizing the …

This work presents a new approach to 3D spit simulation using differential synthetic aperture
interferometry (DInSAR). In doing so, conventional DInSAR procedures are implemented to …

Fuzzy geometric modeling provides a useful tool to introduce uncertainty into mathematical
spline model. In this paper a new concept of a geometric modeling is presented, based on …

Given fuzzy data describing a three-dimensional entity such as terrain, we develop methods
to construct surfaces that are consistent with the uncertainty in the data and surface model …